Top Machine Learning Jobs in Paris

As a Staff Engineer at Overstory, you will lead the evolution of web tools for utility companies to manage climate risks. Your role involves addressing performance and scalability challenges, collaborating across teams, making critical technology decisions, and mentoring engineers to drive the company's mission forward.

As a Director of Strategic Solutions at C3 AI, you will engage with clients to help them implement their digital transformation strategies, manage strategic customer engagement plans, and drive business development. You will collaborate with internal teams to enhance product offerings and will travel to client sites as needed.

As a Senior AI/ML Engineer at Upwork, you will develop machine learning models in the Search & Recommendations domain, analyze data to enhance model performance, and collaborate with business and engineering teams to drive impactful recommendations. Responsibilities include building efficient features, optimizing recommendation systems, and sharing insights with stakeholders.

The Senior Machine Learning Engineer will lead the design and implementation of advanced machine learning models focusing on NLP and LLM technologies. Responsibilities include developing efficient data processing pipelines, performing large-scale data analysis, and collaborating with teams to optimize workflows in the education and research sector.

The Senior Product Manager will lead market research, analyze product performance, and communicate insights to stakeholders. They will collaborate with development teams to prioritize new features and ensure effective product positioning across cross-functional teams.

The Senior Manager, Total Rewards will develop a comprehensive total rewards strategy aligned with organizational goals, analyze compensation practices, manage executive compensation programs, oversee global benefits, and provide analytics to measure the effectiveness of rewards programs, ensuring competitiveness and compliance with relevant regulations.

As a Senior Data Scientist at Doctolib, you will develop and implement AI solutions, simplify access to healthcare, deploy algorithms in production, and collaborate with a team to improve patient solutions. You will also measure outcomes to continuously enhance your methods.

The Staff MLOps Engineer at Doctolib will develop, deploy, and maintain machine learning models, ensuring performance and scalability. Responsibilities include implementing MLOps pipelines, collaborating with data scientists, and optimizing model performance while documenting processes and best practices.

As a Lead Research Engineer at Ava, you will design and scale AI infrastructure, enhance the performance of AI systems, build machine-learning tools, lead deployment processes, and manage a team of data engineers. Your role is vital in creating accessible communication technology for the deaf and hard-of-hearing community.

The Machine Learning Engineer will open-source models, maintain libraries, create tooling, optimize libraries for accuracy, and collaborate with the open-source community, enhancing the integration of research into practical solutions.

As a Presales AI/ML Engineer at Neptune, you'll be presenting the product capabilities to AI research and ML teams globally, crafting compelling narratives to accelerate their work and help them achieve AI breakthroughs.

As an Engineering Manager, you will lead multiple product teams focused on vegetation management and data ingestion by managing a team of engineers. You will foster a collaborative environment, provide support and coaching, make strategic technical decisions, and improve engineering practices while aligning with product managers' goals.

As a Senior Software Engineer, you'll develop AI-powered architecture design tools, contributing to web-based 3D frameworks and cloud computing projects. You'll collaborate within a team, share knowledge, and mentor peers, focusing on delivering impactful solutions.

As an Engineering Manager, you will work as a Senior Software Engineer and manage a group of engineers, developing AI-powered architecture design products while fostering team growth. You will engage in technical work, collaborate as part of product teams, and help build a solution-focused culture within the organization.

The Product Marketing Manager for Data and AI will develop marketing strategies and execute go-to-market plans for Canonical's open source applications. Responsibilities include leading content and campaign development, coordinating with teams, optimizing marketing funnels, and analyzing market positioning for enterprise IT products in AI and data sectors.